MCP Clients

🔍 Enable real-time exploration of GitHub repositories with this high-performance Model Context Protocol (MCP) server built in Rust.

Build and run production-ready Claude Code agents with full agent specs, including turn limits, permissions, memory, and tool orchestration.

Build multi-organization LLM chat platforms with model routing, tool execution, usage analytics, and OpenAI-compatible APIs.

Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.

Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact

Explore 30+ AI agent frameworks to learn patterns, architectures, and source-backed implementation details for building better agents

Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.

Control your Mac with Gemini voice commands to manage apps, files, web, Gmail, Calendar, and Google Workspace tools

🤖 Build engaging AI chat experiences with Ultralytics LLM, a lightweight JavaScript client for web applications, delivered via jsDelivr with zero dependencies.

🤖 Orchestrate AI across apps with a universal API that simplifies integration and automates tasks using Model Context Protocol (MCP) compatibility.

MCP client for use by picoclaw and other crustaceans

HTTP client, CLI, and MCP for modular, git-tracked request sequencing

Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.

Explore tips, prompt templates, and code snippets to improve your use of Claude AI with this community-curated resource.